Bernhard Gotthart@Bernie

Typically, the literature research and review process for a thesis takes between 20 - 40% of the thesis and takes a lot of time to do. This group of GPT-4 driven agents made with AutoGen can help you with your literature research. They can help you search for arXiv papers related to the topic you want to write your Master's or Bachelor's Theis on. They can also group the papers they found regarding their domain etc. this helps you sorting out which papers you need to look closer at. And another thing that they can do is to plot the topics or domains, so you can directly copy the chart into your thesis.

To make it possible that AI can automate the process of generating contract templates by analysing existing contracts and identifying common clauses, terms, and conditions. This can save time and effort for legal professionals, allowing them to focus on more complex tasks. AI can also ensure accuracy and consistency in contract language, reducing the risk of errors or omissions. And the second part of the idea is to make it possible that AI can analyse contracts to identify potential risks, inconsistencies, or non-compliance with legal and regulatory requirements. By using natural language processing and machine learning algorithms, AI can quickly review and flag potential issues, allowing legal professionals to focus on critical areas that require attention.

Create your product using Codestral, Mistral's first-ever open-weight generative AI model for code generation. 🕒 24 hours to complete the challenge. 💡 Implement any idea that uses Codestral at its core. 🤝 Take part alone or form a team with other participants. 🏆 Win an opportunity to participate in LabLab NEXT acceleration program

Unlock the future of video understanding with Twelve Labs! 🕒 48 hours to complete the challenge 💡 Create revolutionary sport apps with Twelve Labs' text-to-video synthesis! 🤝 Take part alone or form a team with other participants 🚀 The final project can be used for your portfolio, and the startup application to the Slingshot accelerator 🏆 Win up to 50 hours of Twelve Labs video credits to develop further!

Build with Phi-2, Microsoft’s new language model powered by impressive NLP which gained recognition from over 300k users 🔥 🕒 24 hours to complete the challenge 💡 Implement any idea that uses Phi-2 in its core 🤝 Take part alone or form a team with other participants 🚀 The final project can be used for your portfolio, and the startup application to the Slingshot accelerator